Sign up to save your podcasts
Or
Share #276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence Analysis
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence Analysis
As AI advances at breakneck speed, the conversation around its potential risks and ethical implications grows louder. For professionals in the field, this raises important questions about responsibility and foresight. How do you ensure that AI systems align with human values? What role do ethics play in the development and deployment of these technologies? Let's delve into the pressing issues that could define the future of AI and its role in society.
Dr. Christopher DiCarlo is a philosopher, educator, and author. He teaches philosophy at the University of Toronto. He also founded Critical Thinking Solutions, a business consultancy, is an Expert Advisor for the Centre for Inquiry Canada, and the Ethics Chair for the Canadian Mental Health Association. His academic work focuses on bioethics and cognitive evolution. He is the author of six books, including the bestselling "How to Become a Really Good Pain in the Ass: A Critical Thinker's Guide to Asking the Right Questions", and his latest "Building a God: The Ethics of Artificial Intelligence and the Race to Control It".
In the episode, Richie and Christopher explore the existential risks of powerful AI, ethical considerations in AI development, the importance of public awareness and involvement, the role of international regulation, and much more.
Links Mentioned in the Show:
- Critical Thinking Solutions
- Connect with Christopher
- Course: AI Ethics
- Related Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU
- Rewatch sessions from RADAR: Forward Edition
New to DataCamp?
- Learn on the go using the DataCamp mobile app
- Empower your business with world-class data and AI skills with DataCamp for business
View all episodes
By DataCamp
4.9
265265 ratings
As AI advances at breakneck speed, the conversation around its potential risks and ethical implications grows louder. For professionals in the field, this raises important questions about responsibility and foresight. How do you ensure that AI systems align with human values? What role do ethics play in the development and deployment of these technologies? Let's delve into the pressing issues that could define the future of AI and its role in society.
Dr. Christopher DiCarlo is a philosopher, educator, and author. He teaches philosophy at the University of Toronto. He also founded Critical Thinking Solutions, a business consultancy, is an Expert Advisor for the Centre for Inquiry Canada, and the Ethics Chair for the Canadian Mental Health Association. His academic work focuses on bioethics and cognitive evolution. He is the author of six books, including the bestselling "How to Become a Really Good Pain in the Ass: A Critical Thinker's Guide to Asking the Right Questions", and his latest "Building a God: The Ethics of Artificial Intelligence and the Race to Control It".
In the episode, Richie and Christopher explore the existential risks of powerful AI, ethical considerations in AI development, the importance of public awareness and involvement, the role of international regulation, and much more.
Links Mentioned in the Show:
- Critical Thinking Solutions
- Connect with Christopher
- Course: AI Ethics
- Related Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYU
- Rewatch sessions from RADAR: Forward Edition
New to DataCamp?
- Learn on the go using the DataCamp mobile app
- Empower your business with world-class data and AI skills with DataCamp for business
More shows like DataFramed
View all
Data Skeptic
478 Listeners
Software Engineering Daily
624 Listeners
Talk Python To Me
588 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
301 Listeners
Python Bytes
214 Listeners
NVIDIA AI Podcast
341 Listeners
Practical AI
211 Listeners
The Real Python Podcast
142 Listeners
Last Week in AI
303 Listeners
Machine Learning Street Talk (MLST)
88 Listeners
Me, Myself, and AI
105 Listeners
Latent Space: The AI Engineer Podcast
96 Listeners
The AI Daily Brief: Artificial Intelligence News and Analysis
557 Listeners
AI + a16z
33 Listeners
Training Data
41 Listeners